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Medicare medication therapy Management: Beneficiary characteristics and utilization patterns in a national CMS
Background:
The Medicare Medication Therapy Management (MTM) program has been available to eligible Medicare Part D beneficiaries since 2006, but research regarding program utilization and characterization is limited.
Objective:
To describe enrollee and MTM program characteristics in a national sample of Medicare fee-for-service (FFS) beneficiaries (2013 to 2016).
Methods:
Using a 5% random sample of Medicare FFS beneficiaries, we conducted a descriptive time series analysis to examine annual MTM enrollment and describe the type of MTM criteria at enrollment (Center for Medicare and Medicaid Services [CMS] vs. expanded). We investigated the offer of Comprehensive Medication Review (CMR) along with CMR receipt status, and delivery characteristics, as well as frequencies of Target Medication Reviews (TMRs).
Result:
Beneficiaries who met CMS enrollment criteria, compared to those eligible under expanded criteria, were significantly older, more likely to be of white race, more likely to be female, and had a significantly higher number of comorbidities. Of those meeting CMS criteria, the proportion receiving TMR increased from 95% in 2013% to 98.1% in 2016, and over 97% were offered a CMR. Although the proportion of beneficiaries offered a CMR was stable over the study period, the proportion who received a CMR increased from 17% in 2013% to 35.4% in 2016. Telephone CMR delivery was the most common method used (87.8% to 89.1% of CMRs over the study period). Over 95% of the CMRs were delivered by a pharmacist.
Conclusion:
During the years 2013 to 2016, enrollment in the MTM program increased, as did the proportion of enrollees receiving TMRs and CMRs. However, uptake remained low and the main factors driving participation remain unclear. Significant differences in demographic characteristics between beneficiaries enrolled under the CMS MTM enrollment criteria and the expanded criteria suggest the need to further investigate the optimal provision of such programs.
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